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A Novel Light Field Image Compression Method Using EPI Restoration Neural Network.

Authors :
Liu, Jinghuai
Zhang, Qian
Shen, Ang
Gao, Ying
Hou, Jiaqi
Wang, Bin
Yan, Tao
Source :
BioMed Research International. 6/13/2022, p1-8. 8p.
Publication Year :
2022

Abstract

Different from traditional images, light field images record not only spatial information but also angle information. Due to the large volume of light field data brings great difficulties to storage and compression, light field compression technology has attracted much attention. The epipolar plane image (EPI) contains a lot of low rank information, which is suitable for recovering the complete EPI from a part of EPI. In this paper, a light field image coding framework based on EPI restoration neural network has been proposed. Compared with previous algorithms, the proposed algorithm further takes advantage of the inherent similarity in light field images, and the proposed framework has higher performance and robustness. Experimental results show that the proposed method has superior performance compared to the state-of-the-art both in quantitatively and qualitatively. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23146133
Database :
Academic Search Index
Journal :
BioMed Research International
Publication Type :
Academic Journal
Accession number :
157408989
Full Text :
https://doi.org/10.1155/2022/8324438